Precision agriculture is essential in today's agricultural production. It allows fields to be classified according to the productive potential of each environment, providing personalized management, improving production costs, and increasing yields. The methodology used in this research is descriptive and applied, classifying productive environments based on the physical and chemical attributes of soils and their geospatial availability in order to recommend variable rate fertilization prescriptions for soybean cultivation on an agricultural property in the Cuatro Cañadas Municipality in the eastern zone of Santa Cruz. Georeferenced sampling was carried out by environments, and as a result, it was determined that 54% of the study area corresponds to environment A (high potential), 22% corresponds to environment B (medium potential), and 24% comprises environment C (low potential). In addition, sustainable management measures were suggested.
Bladimir Fernandez Orellana (Thu,) studied this question.